Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113D285326010363B16D383D97B61F31FE2E69249DB85090663FC836D4BD7E94DE2362A |
|
CONTENT
ssdeep
|
768:eeFy5NWzMtxP5hMyEbmtlg8Y0R/6W7sOy2+y9BH4crIe:PMtN5h1t+O7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d43a9c29e5c3 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
9cc4c3e3cd2c9300 |
|
VISUAL
wHash
|
00fff1300400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0080800458988000,dcccc7c3c3cd2c14 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 8 techniques to evade detection by security scanners and make reverse engineering more difficult.